Abstract
We tell the story of BrilliAnt, the winner of the Ant Wars contest organized within GECCO’2007, Genetic and Evolutionary Computation Conference. The task for the Ant Wars contestants was to evolve a controller for a virtual ant that collects food in a square toroidal grid environment in the presence of a competing ant. BrilliAnt, submitted to the contest by our team, has been evolved through competitive one-population coevolution using genetic programming and a novel fitnessless selection method. In the paper, we detail the evolutionary setup that lead to BrilliAnt’s emergence, assess its human-competitiveness, and describe selected behavioral patterns observed in its strategy.
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References
Angeline, P.J., Pollack, J.B.: Competitive environments evolve better solutions for complex tasks. In: Forrest, S. (ed.) Proceedings of the 5th International Conference on Genetic Algorithms, pp. 264–270 (1993)
Azaria, Y., Sipper, M.: GP-gammon: Genetically programming backgammon players. Genetic Programming and Evolvable Machines 6(3), 283–300 (2005)
Buro, M.: Real-time strategy games: A new AI research challenge. In: Gottlob, G., Walsh, T. (eds.) IJCIA, pp. 1534–1535. Morgan Kaufmann, San Francisco (2003)
Corno, F., Sanchez, E., Squillero, G.: On the evolution of corewar warriors. In: Proceedings of the 2004 IEEE Congress on Evolutionary Computation, June 20-23, 2004, pp. 133–138. IEEE Press, Los Alamitos (2004)
Hauptman, A., Sipper, M.: Evolution of an efficient search algorithm for the mate-in-N problem in chess. In: Ebner, M., O’Neill, M., Ekárt, A., Vanneschi, L., Esparcia-Alcázar, A.I. (eds.) EuroGP 2007. LNCS, vol. 4445, pp. 78–89. Springer, Heidelberg (2007)
Koza, J.R.: Genetic evolution and co-evolution of game strategies. In: The International Conference on Game Theory and Its Applications, Stony Brook (1992)
Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge (1992)
Luke, S.: Genetic programming produced competitive soccer softbot teams for robocup97. In: Koza, J.R., et al. (eds.) Genetic Programming 1998: Proceedings of the 3rd Annual Conference, Madison, Wisconsin, USA, pp. 214–222 (1998)
Luke, S.: ECJ evolutionary computation system (2002), http://cs.gmu.edu/eclab/projects/ecj/
Luke, S., Wiegand, R.: When coevolutionary algorithms exhibit evolutionary dynamics. In: 2002 Genetic and Evolutionary Computation Conference Workshop Program, pp. 236–241 (2002)
Panait, L., Luke, S.: A comparison of two competitive fitness functions. In: GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 503–511. Morgan Kaufmann, San Francisco (2002)
Shichel, Y., Ziserman, E., Sipper, M.: GP-robocode: Using genetic programming to evolve robocode players. In: Keijzer, M., Tettamanzi, A.G.B., Collet, P., van Hemert, J.I., Tomassini, M. (eds.) EuroGP 2005. LNCS, vol. 3447, pp. 143–154. Springer, Heidelberg (2005)
Sipper, M.: Attaining human-competitive game playing with genetic programming. In: El Yacoubi, S., Chopard, B., Bandini, S. (eds.) ACRI 2006. LNCS, vol. 4173, Springer, Heidelberg (2006)
Smilak, K.C.: Finding the ultimate video poker player using genetic programming. In: Koza, J.R. (ed.) Genetic Algorithms and Genetic Programming at Stanford 1999, pp. 209–217 (1999)
Tettamanzi, A.G.B.: Genetic programming without fitness. In: Koza, J.R. (ed.) Late Breaking Papers at the Genetic Programming 1996 Conference (1996)
Wittkamp, M., Barone, L.: Evolving adaptive play for the game of spoof using genetic programming. In: Louis, S., Kendall, G. (eds.) Proceedings of the 2006 IEEE Symposium on Computational Intelligence and Games (CIG 2006), University of Nevada, Reno, USA, pp. 164–172. IEEE, Los Alamitos (2006)
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Jaśkowski, W., Krawiec, K., Wieloch, B. (2008). Winning Ant Wars: Evolving a Human-Competitive Game Strategy Using Fitnessless Selection. In: O’Neill, M., et al. Genetic Programming. EuroGP 2008. Lecture Notes in Computer Science, vol 4971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78671-9_2
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DOI: https://doi.org/10.1007/978-3-540-78671-9_2
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